"The Semantic Technology & Business Conference (SemTechBiz) is the foremost conference series on semantic technologies held each year, and covers a wide range of topics that are redefining the landscape. Please note that we are seeking compelling and thought provoking practitioner depictions of real-world experience.

We strongly favor presentations that include:

In-depth case studies

Step-by-step how-to's

Real brands

Solid data and results

Priority consideration is given to speakers with hands-on implementation experience and broad industry knowledge. Precedence is also given to presentations offering actionable ideas and substantive answers to specific, real-world questions (share the mistakes along with the successes!)".

SCRIBE, a Semantic Model that Help Cities Become Smart, con Rosario Uceda-Sosa, de IBM: “Despite the progress made in semantic technologies and standards, semantic industry-strength models in complex domains are few and hard to use. However, data semantics is at the core of complex, heterogeneous and siloed systems like smart cities.”

Deriving Social Insight from Existing Business Applications, con Marie Wallace, de IBM: “In this presentation we will examine how we can we apply social analytics to a existing business application which is not a “social application” per sei. We will demonstrate how these applications hide a rich set of social and semantic links within their underlying schemas, relationships that may be well hidden and distributed across a myriad of tables and cells, but they are there nonetheless and can be represented as a socio-semantic graph on which social analytics can be easily applied.”

Bringing Location Analysis to the Semantic Web with the OGC GeoSPARQL Standard, con Matthew Perry y Xavier Lopez, de Oracle: “The Open Geospatial Consortium has recently introduced the GeoSPARQL standard for spatial query on the Semantic Web. Spatial data is pervasive on the Web, and standards from the OGC play a critical role in location-based applications that we use every day. GeoSPARQL standardizes key features, such as spatial datatypes and SPARQL extension functions, that will bring the Geo Web into the Semantic Web.”

Semantic Spend Classification: The Convergence of Unstructured Data Processing, Semantics and Data Mining, con Arivoli Tirouvingadame, de Oracle: “Spend Classification is the process of managing how to spend money effectively in order to build products and services. The term is intended to encompass such processes as outsourcing, procurement, e-procurement, and supply chain management. Spend Classification is a key component of spend management that classifies transactional spend data into standard spend taxonomies thus enabling rich Spend Analytics. This data is typically highly unstructured in its nature but has deep value. Unlocking the value buried in this data requires synergistic use of linguistic text processing techniques, data mining and business intelligence resulting in high value results to the organization.”

Watson Goes Back to School - And what it tells us about the evolving role of semantic technology, con Christopher Welty, de IBM Research: “However, over time, the failure of the AI community to achieve this end-to-end vision made many, especially those in NLP, question the endpoint. In other words, to doubt the value of semantic technology. In this talk, we show that it was the vision, not the technology, that deserved to be doubted. Semantic technology has significant value in accomplishing tasks that require understanding, but it is not the endpoint.”

Semantic Search, con Thanh Duc Tran de AIFB y Peter Mika de Yahoo. “In this tutorial, we aim to provide a comprehensive overview on the different types of semantic search systems, and discuss the differences in the techniques underlying them. Both the application of Semantic Web technologies to the IR problem and vice versa, the application of IR techniques to Semantic Web problem are covered by this tutorial. In particular, focus is given to four topics of semantic search which have attracted much interest recently”

LONDRES: Building a Linked Data Graph for EducationTom Heath, Talis Education Ltd: "Just as a social and professional graph have emerged through Facebook and LinkedIn, so too is an education graph emerging describing connections between students, teachers and the learning resources they use. The Talis Aspire application allows university lecturers to create lists of learning resources for a particular course, which are then expressed according to the Linked Data paradigm"

LONDRES Y SAN FRANCISCO: Linked Data at Pearson: The Proof is in the PuttingMadi Weland Solomon, Pearson Plc: "This presentation offers up a recent Pearson proof of concept to reveal the promise of Linked Data as a path to approach issues such as DAM, Enterprise Taxonomy Management, Enterprise Search, and even alignment of content to education standards".

NUEVA YORK: Watson Goes Back to School - And what it tells us about the evolving role of semantic technologyChristopher Welty, IBM Research: "In the traditional vision of AI, understanding flowed from perception through language to knowledge. It had always been envisioned that this understanding would be in some precise and unambiguous knowledge representation, and that all meaning processing would happen in this representation. This is the root of all semantic technology today".

A Faceted Browser for Drug Discovery: Integrating & Querying Big DataHans Constandt Senior Consultant Information Integration / Eli Lilly: "Our project that joins the capabilities of semantic information integration & faceted browsing visualization. Faceted visualization of linked data spanning internal, external public and subscribed sources can provide an effective and generally applicable mechanism for deriving knowledge from the wealth of available integrated information. Any data source semantically exposed and woven into an information graph becomes available for faceted browsing access. This includes sources ranging from drug discovery to clinical development and operational support functions".

Using and Improving the D2RQ Open-source RDB to RDF Mapping ToolDidier E. Chalon Data architect, New Medicines Informatics / UCB Pharma s.a. y James Snowden Senior Scientist, New Medicines Informatics / UCB Celltech: "D2RQ is an open-source, freely available, relational database to RDF mapping technology. Its features and performance in a corporate environment have led UCB to identify it as the preferred tool for several data integration scenarios - with however possibilities for improvement in different areas".

rNews: The most versatile way to mark up Publishing MetadataAndreas Gebhard Managing Editor Getty Images, Inc./ Evan Sandhaus Semantic Technologist - New York Times Company: "The International Press Telecommunications Council (IPTC) released rNews 1.0 in October 2011 after one year of development and community outreach work. With the integration into schema.org, rNews has quickly become the most versatile way to mark up publishing metadata in a Semantic Web compliant way".

Omnimedia: Keeping It Simple: A Case Study in Shifting ExpectationsBarbara E McGlamery Taxonomist Martha Stewart Living Omnimedia: "This case study will compare how two companies approached the challenges involved with defining realistic objectives for using the Semantic Web and what obstacles were encountered in the development process".

Semantics at Tribune CompanyKeith P DeWeese Director, Information and Semantics Management -The Tribune Company: "The Tribune Company has been working with various semantic technologies for years, but a formal semantic program was not until 2007. This presentation will cover the foundation of that program, achieved, lessons learned, and the forward-looking view the Tribune Company regarding a suite of semantic technologies that it will deploy in the future".

Using the Semantic Web for online Sports News StoriesDaniel Schwabe Professor Dept. of Informatics, PUC-Rio / Rafael Pena Product Owner of the Sports Data System Globo.com: "We present the use of a Domain Model for Soccer, together with a Discourse Model, were used to identify story leads for the largest Brazilian sports news website".

AP MetadataAmy Sweigert Vice President of Information Management The Associated Press: "With the introduction of AP Metadata Services, the Associated Press is offering a standardized AP News Taxonomy, which in combination with the AP Tagging Service enables the automated creation of rich, semantic metadata".